Preprints
https://doi.org/10.5194/egusphere-2023-175
https://doi.org/10.5194/egusphere-2023-175
17 Mar 2023
 | 17 Mar 2023

Evaluation of TROPOMI operational standard NO2 column retrievals (from version 1.3 to 2.4) with OMNO2 and QA4ECV OMI observations over China

Jianbin Gu, Xiaoxia Liang, Shipeng Song, Yanfang Tian, Liangfu Chen, and Jinhua Tao

Abstract. The TROPOMI satellite instrument plays a key role in nitrogen dioxide (NO2) monitoring on account of its unprecedented spatial resolution and stable quality of data. However, since 2019, TROPOMI operational NO2 retrieval has improved and updated in three versions (1.4, 2.2 and 2.4), with significant impact on retrieved NO2 column. Thus, studies including both TROPOMI NO2 data before and after the activation of these versions could show artificial jumps. Moreover, up to date evaluation result of TROPOMI NO2 data in current version 2.4 is not yet well documented in the literature. Therefore, in this work, we focus on evaluating TROPOMI's capability to detect NO2 under the different retrieval version conditions, by comparing with OMNO2 data and QA4ECV OMI data over China. We find a 38 % increase of tropospheric NO2 in version 1.4 due to improved FRESCO-wide cloud retrieval, and a 14 % increase in version 2.2 due to adjusted surface albedo for cloud-free scenes. We show that the upgrade to version 2.4 with new DLER surface albedo, led to an increase by 3 x 1014 molecules cm-2 of tropospheric NO2 over vegetation. Furthermore, we demonstrate that TROPOMI data shows strongest tropospheric NO2 seasonal variation compared to OMNO2 data and QA4ECV OMI data, and this seasonal effect was enhanced with the tropospheric NO2 retrieval version upgrades. Additionally, we examine for the first time the change of TROPOMI AMFs (air mass factors) in the different versions, and based on it, we arrive at a correction for the underestimation of TROPOMI NO2 column in previous versions. We also find a 33 % overestimation of NO2 reduction during the COVID-19 lockdown over China when using TROPOMI data before and after the activation of the NO2 version 1.4.

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Jianbin Gu, Xiaoxia Liang, Shipeng Song, Yanfang Tian, Liangfu Chen, and Jinhua Tao

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-175', Anonymous Referee #1, 02 May 2023
    • AC1: 'Reply on RC1', Jianbin Gu, 30 May 2023
  • RC2: 'Comment on egusphere-2023-175', Anonymous Referee #2, 04 May 2023
    • AC2: 'Reply on RC2', Jianbin Gu, 30 May 2023

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-175', Anonymous Referee #1, 02 May 2023
    • AC1: 'Reply on RC1', Jianbin Gu, 30 May 2023
  • RC2: 'Comment on egusphere-2023-175', Anonymous Referee #2, 04 May 2023
    • AC2: 'Reply on RC2', Jianbin Gu, 30 May 2023
Jianbin Gu, Xiaoxia Liang, Shipeng Song, Yanfang Tian, Liangfu Chen, and Jinhua Tao
Jianbin Gu, Xiaoxia Liang, Shipeng Song, Yanfang Tian, Liangfu Chen, and Jinhua Tao

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Short summary
A 38 % increase of NO2 in TROPOMI version 1.4 due to FRESCO-wide cloud retrieval is found. A 14 % increase of NO2 in TROPOMI version 2.2 due to adjusted surface albedo is found. DLER climatology in TROPOMI current version 2.4 leads to a 16 % increase of NO2 over vegetation. NO2 seasonal effect is enhanced with TROPOMI NO2 version update. A 33 % overestimation of NO2 reduction during COVID-19 lockdown over China is found.